
"""simple docstring"""






from __future__ import annotations

from collections.abc import Callable
from typing import Any, Generic, TypeVar

UpperCAmelCase        =				TypeVar("""T""")



class 			lowercase					( Generic[T]		):






			def __init__(self  :	Dict      ,SCREAMING_SNAKE_CASE_  :	list[T]      ,SCREAMING_SNAKE_CASE_  :	Callable[[T, T], T]			)       ->	None:





				"""simple docstring"""


				lowerCAmelCase												=  None

				lowerCAmelCase												=  len(SCREAMING_SNAKE_CASE_			)
				lowerCAmelCase												=  [any_type for _ in range(self.N			)] + arr
				lowerCAmelCase												=  fnc
				self.build()






			def 					UpperCAmelCase							(self  :	Optional[Any]			)       ->	None:





				"""simple docstring"""


				for p in range(self.N - 1      ,0      ,-1			):
					lowerCAmelCase												=  self.fn(self.st[p * 2]      ,self.st[p * 2 + 1]			)






			def 					UpperCAmelCase							(self  :	Optional[int]      ,SCREAMING_SNAKE_CASE_  :	int      ,SCREAMING_SNAKE_CASE_  :	T			)       ->	None:





				"""simple docstring"""


				p += self.N
				lowerCAmelCase												=  v
				while p > 1:
					lowerCAmelCase												=  p // 2
					lowerCAmelCase												=  self.fn(self.st[p * 2]      ,self.st[p * 2 + 1]			)






			def 					UpperCAmelCase							(self  :	Optional[int]      ,SCREAMING_SNAKE_CASE_  :	int      ,SCREAMING_SNAKE_CASE_  :	int			)       ->	T | None:  # noqa: E741





				"""simple docstring"""


				lowerCAmelCase							,       lowerCAmelCase												=  l + self.N, r + self.N

				lowerCAmelCase												=  None
				while l <= r:
					if l % 2 == 1:
						lowerCAmelCase												=  self.st[l] if res is None else self.fn(SCREAMING_SNAKE_CASE_      ,self.st[l]			)
					if r % 2 == 0:
						lowerCAmelCase												=  self.st[r] if res is None else self.fn(SCREAMING_SNAKE_CASE_      ,self.st[r]			)
					lowerCAmelCase							,       lowerCAmelCase												=  (l + 1) // 2, (r - 1) // 2
				return res


if __name__ == "__main__":
					from functools import reduce

					UpperCAmelCase        =				[1, 1_0, -2, 9, -3, 8, 4, -7, 5, 6, 1_1, -1_2]

					UpperCAmelCase        =				{
					    0: 7,
					    1: 2,
					    2: 6,
					    3: -1_4,
					    4: 5,
					    5: 4,
					    6: 7,
					    7: -1_0,
					    8: 9,
					    9: 1_0,
					    1_0: 1_2,
					    1_1: 1,
					}

					UpperCAmelCase        =				SegmentTree(test_array, min)
					UpperCAmelCase        =				SegmentTree(test_array, max)
					UpperCAmelCase        =				SegmentTree(test_array, lambda a, b: a + b)




					def __magic_name__	(				)					->						None:

						'''simple docstring'''




						for i in range(len(_lowerCamelCase			)			):
							for j in range(_lowerCamelCase,					len(_lowerCamelCase			)			):
								lowerCAmelCase												=  reduce(_lowerCamelCase,					test_array[i : j + 1]			)
								lowerCAmelCase												=  reduce(_lowerCamelCase,					test_array[i : j + 1]			)
								lowerCAmelCase												=  reduce(lambda _lowerCamelCase,					_lowerCamelCase			: a + b,					test_array[i : j + 1]			)
								assert min_range == min_segment_tree.query(_lowerCamelCase,					_lowerCamelCase			)
								assert max_range == max_segment_tree.query(_lowerCamelCase,					_lowerCamelCase			)
								assert sum_range == sum_segment_tree.query(_lowerCamelCase,					_lowerCamelCase			)

					test_all_segments()

					for index, value in test_updates.items():
										UpperCAmelCase        =				value
										min_segment_tree.update(index, value)
										max_segment_tree.update(index, value)
										sum_segment_tree.update(index, value)
										test_all_segments()




"""simple docstring"""






from ...configuration_utils import PretrainedConfig
from ...utils import logging


UpperCAmelCase        =				logging.get_logger(__name__)

UpperCAmelCase        =				{"""openai-gpt""": """https://huggingface.co/openai-gpt/resolve/main/config.json"""}



class 			lowercase					( lowercase__		):
			lowercase        =     '''openai-gpt'''
			lowercase        =     {
			    '''max_position_embeddings''': '''n_positions''',
			    '''hidden_size''': '''n_embd''',
			    '''num_attention_heads''': '''n_head''',
			    '''num_hidden_layers''': '''n_layer''',
			}






			def __init__(self  :	List[Any]      ,SCREAMING_SNAKE_CASE_  :	str=40_478      ,SCREAMING_SNAKE_CASE_  :	Optional[int]=512      ,SCREAMING_SNAKE_CASE_  :	Union[str, Any]=768      ,SCREAMING_SNAKE_CASE_  :	Dict=12      ,SCREAMING_SNAKE_CASE_  :	Dict=12      ,SCREAMING_SNAKE_CASE_  :	int="gelu"      ,SCREAMING_SNAKE_CASE_  :	Dict=0.1      ,SCREAMING_SNAKE_CASE_  :	List[Any]=0.1      ,SCREAMING_SNAKE_CASE_  :	Dict=0.1      ,SCREAMING_SNAKE_CASE_  :	Optional[Any]=1e-5      ,SCREAMING_SNAKE_CASE_  :	List[str]=0.02      ,SCREAMING_SNAKE_CASE_  :	Union[str, Any]="cls_index"      ,SCREAMING_SNAKE_CASE_  :	str=True      ,SCREAMING_SNAKE_CASE_  :	Any=None      ,SCREAMING_SNAKE_CASE_  :	List[Any]=True      ,SCREAMING_SNAKE_CASE_  :	List[str]=0.1      ,**SCREAMING_SNAKE_CASE_  :	int      ,)       ->	int:





				"""simple docstring"""


				lowerCAmelCase												=  vocab_size
				lowerCAmelCase												=  n_positions
				lowerCAmelCase												=  n_embd
				lowerCAmelCase												=  n_layer
				lowerCAmelCase												=  n_head
				lowerCAmelCase												=  afn
				lowerCAmelCase												=  resid_pdrop
				lowerCAmelCase												=  embd_pdrop
				lowerCAmelCase												=  attn_pdrop
				lowerCAmelCase												=  layer_norm_epsilon
				lowerCAmelCase												=  initializer_range
				lowerCAmelCase												=  summary_type
				lowerCAmelCase												=  summary_use_proj
				lowerCAmelCase												=  summary_activation
				lowerCAmelCase												=  summary_first_dropout
				lowerCAmelCase												=  summary_proj_to_labels
				super().__init__(**SCREAMING_SNAKE_CASE_			)


